Summary
Heng-sheng Chang is a postdoctoral researcher and engineer with 8+ years of experience bridging robotics and machine learning, currently based at the Coordinated Science Laboratory, University of Illinois. He specializes in system modeling, control theory, and state estimation, turning principled theoretical insights into efficient algorithms and deployable infrastructure. His work focuses on uncovering fundamental structure in complex dynamical systems and translating that structure into interpretable, high-performance learning methods. Heng-sheng has a strong teaching and mentoring background across graduate and undergraduate courses, and practical industry experience as a robotics engineer. He combines rigorous mathematical reasoning from his PhD with hands-on system building, making him adept at moving ideas from theory to real-world experiments. An intellectually curious researcher, he blends interests in AI, robotics, and algorithmic mathematics to tackle interdisciplinary problems.
7 years of coding experience
7 years of employment as a software developer
Bachelorās Degree, Mechanical Engineering, Bachelorās Degree, Mechanical Engineering at National Taiwan University
Doctor of Philosophy - PhD, Mechanical Science and Engineering, Doctor of Philosophy - PhD, Mechanical Science and Engineering at University of Illinois Urbana-Champaign